The company is looking to solve the problem of making generative AI safer and more reliable by identifying and correcting data and model issues before they cause downstream harm.
Requirements
Strong skills in distributed systems, API design, and infrastructure for scale
Experience building high-performance backend services in production environments
Data Engineering
Pipelines
Scalability
Architecture
Infrastructure
Responsibilities
Design, build, and maintain backend systems for real-time detection and remediation of generative AI issues
Own major backend components of our platform, from architecture through production
Work at the intersection of distributed systems, ML infrastructure, and data engineering
Collaborate closely with ML researchers and product engineers to turn research into production systems
Improve scalability, performance, and resilience of backend services as we grow
Contribute to evaluation pipelines and ensure systems deliver trustworthy results at enterprise scale
Other
5+ years of experience in backend or closely adjacent roles
Ability to thrive in a fast-paced, mission-driven startup environment
Excellent collaboration skills and a hands-on, ownership-driven mindset
